The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
RETRACTED ARTICLE: Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems
Open accessAbstract
Since the last decade, cloud-based electronic health records (EHRs) have gained significant attention to enable remote patient monitoring. The recent development of Healthcare 4.0 using the Internet of Things (IoT) components and cloud computing to access medical operations remotely has gained the researcher's attention from a smart city perspective. Healthcare 4.0 mainly consisted of periodic medical data sensing, aggregation, data transmission, data sharing, and data storage. The sensitive and personal data of patients lead to several challenges while protecting it from hackers. Therefore storing, accessing, and sharing the patient medical information on the cloud needs security attention that data should not be compromised by the authorized user's components of E-healthcare systems. To achieve secure medical data storage, sharing, and accessing in cloud service provider, several cryptography algorithms are designed so far. However, such conventional solutions failed to achieve the trade-off between the requirements of EHR security solutions such as computational efficiency, service side verification, user side verifications, without the trusted third party, and strong security. Blockchain-based security solutions gained significant attention in the recent past due to the ability to provide strong security for data storage and sharing with the minimum computation efforts. The blockchain made focused on bitcoin technology among the researchers. Utilizing the blockchain which secure healthcare records management has been of recent interest. This paper presents the systematic study of modern blockchain-based solutions for securing medical data with or without cloud computing. We implement and evaluate the different methods using blockchain in this paper. According to the research studies, the research gaps, challenges, and future roadmap are the outcomes of this paper that boost emerging Healthcare 4.0 technology.
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Cites
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“(Taichman et al. 2016; Chen et al. 2014).”
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Blockchain based searchable encryption for electronic health record sharing
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Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach
Wang, S., Wang, J., Wang, X., Qiu, T., Yuan, Y., Ouyang, L., Guo, Y., & Wang, F.-Y. (2018) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2018.2865526 · Cited by 316
A hybrid framework for multimedia data processing in IoT-healthcare using blockchain technology
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Are blockchains immune to all malicious attacks?
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MIStore: a Blockchain-Based Medical Insurance Storage System
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The Yale Open Data Access (YODA) Project — A Mechanism for Data Sharing
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Medical data management on blockchain with privacy
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Cited by
Cyber security: State of the art, challenges and future directions
Admass, W. S., Munaye, Y. Y., & Diro, A. A. (2024) · Cyber Security and Applications · doi:10.1016/j.csa.2023.100031 · Cited by 299
Metadata
- Authors
- Mahajan, H. B., Rashid, A. S., Junnarkar, A. A., Uke, N., Deshpande, S. D., Futane, P. R., Alkhayyat, A., & Alhayani, B.
- Venue
- Applied Nanoscience
- Published
- 2022-02-04
- Volume
- 13
- Issue
- 3
- Pages
- 2329-2342
- ISSN
- 2190-5509 (ISSN-L)
- 2190-5517
- OpenAlex
- W4210482275
- Cited by
- 190
- References
- 10
- FWCI
- 44.51
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- bronze
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- Mahajan, H. B., Rashid, A. S., Junnarkar, A. A., Uke, N., Deshpande, S. D., Futane, P. R., Alkhayyat, A., & Alhayani, B. (2023). RETRACTED ARTICLE: Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems. Applied Nanoscience. https://doi.org/10.1007/s13204-021-02164-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
